{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"8dc80d0ecb93","filters":{"venue":"IEEE Symposium on Information Visualization"}},"results":[{"id":"W3139661953","doi":"10.1109/infvis.2004.59","title":"Rethinking Visualization: A High-Level Taxonomy","year":2005,"lang":"en","type":"article","venue":"IEEE Symposium on Information Visualization","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":135,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Taxonomy (biology); Computer science; Visualization; Data visualization; Data science; Information retrieval; Artificial intelligence; Biology; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.03918238934925081,"gpt":0.2881375487807804,"spread":0.2489551594315295,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006198592,0.0003363907,0.000265874,0.0007672191,0.0004454296,0.001078392,0.000861862,0.0002016881,0.0001200313],"category_scores_gemma":[0.0001102428,0.0003476628,0.00009260113,0.001513792,0.00004867371,0.008275699,0.0001231335,0.0001480822,0.001383665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515945,"about_ca_system_score_gemma":0.0001645036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001592163,"about_ca_topic_score_gemma":0.000008299443,"domain_scores_codex":[0.9970818,0.0001476986,0.001048733,0.0003829756,0.0009445018,0.0003942541],"domain_scores_gemma":[0.9977549,0.00008019312,0.0006307753,0.0007455028,0.0006023498,0.0001862537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001313834,0.000131862,0.00009574517,0.0000473972,0.00002595409,7.664364e-7,0.002661593,0.02229563,0.000238808,0.9444325,0.02042698,0.009629621],"study_design_scores_gemma":[0.001009728,0.0001426369,0.00015414,0.00008230516,0.00001705457,0.00001088245,0.00006002922,0.7064363,0.0111303,0.001084733,0.2793319,0.0005400107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009911634,0.000006568168,0.9871089,0.001278722,0.0009648934,0.0005082225,0.0000400741,0.0007756277,0.008325773],"genre_scores_gemma":[0.9524053,0.0001435031,0.0255465,0.01780426,0.0007821811,0.0001855712,0.001743169,0.00005337308,0.001336199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9615625,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3139654456","doi":"10.1109/infvis.2004.60","title":"Steerable, Progressive Multidimensional Scaling","year":2005,"lang":"en","type":"article","venue":"IEEE Symposium on Information Visualization","topic":"Music and Audio Processing","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Scaling; Computer science; Multidimensional scaling; Mathematics; Machine learning; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.01085608954989996,"gpt":0.2703813822750954,"spread":0.2595252927251955,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002757015,0.0001521524,0.0001202239,0.0002383969,0.0003083386,0.0003413629,0.0002507205,0.00008316742,0.00003233526],"category_scores_gemma":[0.00002757949,0.0001397744,0.00004115857,0.0004311115,0.00002418618,0.00481001,0.00004387156,0.00008981686,0.0004109035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009259253,"about_ca_system_score_gemma":0.00008601435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001769597,"about_ca_topic_score_gemma":3.366901e-7,"domain_scores_codex":[0.9985617,0.00004425466,0.0004462725,0.0001807461,0.0005403419,0.0002266921],"domain_scores_gemma":[0.9990237,0.00003920295,0.0003099382,0.0002373979,0.0003076664,0.00008211639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006045808,0.0003331716,0.000247838,0.0002014477,0.00004567597,0.000003383076,0.0161728,0.2987199,0.008237708,0.4325465,0.0255111,0.2179201],"study_design_scores_gemma":[0.0006170812,0.00006592232,0.0001508694,0.0001163822,0.000004847813,0.000012766,0.00003867062,0.8929762,0.05513583,0.0001276465,0.050492,0.0002617989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01577763,0.00002158866,0.9734189,0.00156126,0.0006235446,0.0002577044,0.000002618117,0.0003669445,0.007969845],"genre_scores_gemma":[0.9623998,0.00001185585,0.02790112,0.008966076,0.0003348807,0.00004753247,0.00007192512,0.00001262611,0.0002541517],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9466222,"threshold_uncertainty_score":0.5699833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4239966611","doi":"10.1109/infvis.2004.11","title":"BinX: Dynamic Exploration of Time Series Datasets Across Aggregation Levels","year":2005,"lang":"en","type":"article","venue":"IEEE Symposium on Information Visualization","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Visualization; Series (stratigraphy); Data mining; Time series; Data visualization; Range (aeronautics); Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.02034649842198702,"gpt":0.3175644552374403,"spread":0.2972179568154533,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005056115,0.0002226784,0.0002152656,0.0003771411,0.0002340846,0.0004348911,0.0005325361,0.0001257754,0.0000454052],"category_scores_gemma":[0.00009039818,0.0002290269,0.00005949309,0.001008525,0.00005798907,0.02006086,0.00008924659,0.00007415924,0.0007610725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308718,"about_ca_system_score_gemma":0.00008371242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005983891,"about_ca_topic_score_gemma":0.00001004935,"domain_scores_codex":[0.997798,0.0001037013,0.0009301805,0.0002426377,0.0006730346,0.0002524274],"domain_scores_gemma":[0.9981416,0.0000439148,0.0007142574,0.0005818808,0.0004299164,0.00008844814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001333798,0.000670472,0.0001635658,0.0004109192,0.0001120529,0.000001541729,0.02562671,0.3011925,0.02202079,0.5409845,0.02559579,0.08308786],"study_design_scores_gemma":[0.0007119466,0.0001932075,0.0001531629,0.00008792654,0.0000116034,0.000005917447,0.0001526738,0.9078507,0.0622942,0.000387571,0.02781206,0.0003390647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003343708,0.000005803072,0.9934186,0.0008611196,0.0003613979,0.0003332142,0.0005486328,0.0002935179,0.0008339582],"genre_scores_gemma":[0.975749,0.0002419551,0.009251555,0.002283383,0.0001683408,0.00005784525,0.0114255,0.00003791401,0.0007845566],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9841671,"threshold_uncertainty_score":0.9936451,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2033650322","doi":"10.1109/infovis.2004.53","title":"PhylloTrees: Harnessing Nature’s Phyllotactic Patterns for Tree Layout","year":2004,"lang":"en","type":"article","venue":"IEEE Symposium on Information Visualization","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Tree (set theory); A priori and a posteriori; Theoretical computer science; Mathematics; Combinatorics","retraction":null,"screen_n_in":null,"score":{"opus":0.01435124205310617,"gpt":0.3004182894384841,"spread":0.286067047385378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003379349,0.0002933088,0.0002347795,0.000538584,0.0003781226,0.001000389,0.0006619163,0.0002280571,0.00001045735],"category_scores_gemma":[0.0001228776,0.0002888042,0.0001262283,0.0008102928,0.00003002241,0.005464015,0.00006008939,0.0001639405,0.0001780858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002175846,"about_ca_system_score_gemma":0.0001618133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001454507,"about_ca_topic_score_gemma":0.00001105089,"domain_scores_codex":[0.9979131,0.00005385991,0.0007070171,0.0003341847,0.0006268056,0.0003650888],"domain_scores_gemma":[0.9982555,0.00007636881,0.0005033101,0.0005695577,0.0004549052,0.0001403883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005210593,0.0003723555,0.0004640545,0.0003417631,0.00006416851,0.000001821288,0.004988942,0.0480112,0.001508307,0.9324033,0.003149596,0.008642423],"study_design_scores_gemma":[0.005944278,0.0007947981,0.001483958,0.0005202374,0.0000759592,0.00002279413,0.0004967786,0.8679965,0.05502507,0.004858909,0.06136393,0.001416804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005003412,0.000007275418,0.9894454,0.0008552918,0.001436701,0.0005292589,0.00006789985,0.0004866832,0.002168038],"genre_scores_gemma":[0.9896238,0.00003584442,0.003241882,0.00561078,0.0002412755,0.00008283918,0.0009788332,0.00003160075,0.0001531566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9862036,"threshold_uncertainty_score":0.9999564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110028027","doi":"10.1109/infovis.2004.47","title":"Metric-Based Network Exploration and Multiscale Scatterplot","year":2004,"lang":"en","type":"article","venue":"IEEE Symposium on Information Visualization","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Artificial intelligence; Metric (unit); Image (mathematics); Image segmentation; Segmentation; Process (computing); Pattern recognition (psychology); Image processing; Computer vision; Data mining; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01762289522549168,"gpt":0.2818441891413416,"spread":0.2642212939158499,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000354062,0.0001932953,0.0001560458,0.0004872823,0.0002907254,0.0006656211,0.0003002752,0.00009919718,0.000007465823],"category_scores_gemma":[0.00005979865,0.0001930686,0.00004145414,0.001368545,0.00003720551,0.005427359,0.00004816619,0.00007434841,0.0002110902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075729,"about_ca_system_score_gemma":0.00008646226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001656883,"about_ca_topic_score_gemma":0.000005421089,"domain_scores_codex":[0.9984193,0.00006830095,0.0005353664,0.0002381071,0.0004965408,0.0002423959],"domain_scores_gemma":[0.9988898,0.00005135273,0.0003054396,0.0003732362,0.0002540343,0.0001261425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001610824,0.0001153711,0.000291181,0.00005662956,0.00001337399,7.75488e-7,0.001230742,0.6340137,0.0002119301,0.3570992,0.002826064,0.004124994],"study_design_scores_gemma":[0.001739195,0.0002571396,0.0004451991,0.00009602364,0.00001491344,0.000003942404,0.000055856,0.9733524,0.009440141,0.002389224,0.01182034,0.0003856238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001207702,0.000008191715,0.9949719,0.001579885,0.0005693099,0.0002981116,0.00001059572,0.0003739882,0.0009802892],"genre_scores_gemma":[0.9787383,0.0001056047,0.01209959,0.008137405,0.0001739766,0.00005514853,0.0006111644,0.00002182569,0.00005696873],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9828724,"threshold_uncertainty_score":0.787311,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4232685372","doi":"10.1109/infvis.2004.53","title":"PhylloTrees: Harnessing Nature’s Phyllotactic Patterns for Tree Layout","year":2005,"lang":"en","type":"article","venue":"IEEE Symposium on Information Visualization","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Tree (set theory); Mathematics; Combinatorics","retraction":null,"screen_n_in":null,"score":{"opus":0.01912286183625425,"gpt":0.315904686643555,"spread":0.2967818248073008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000412847,0.0003083629,0.0002465822,0.0005697635,0.0003775535,0.001056994,0.0006939759,0.0002377744,0.00003010414],"category_scores_gemma":[0.0001348823,0.0003049303,0.0001315648,0.0007401297,0.00002810795,0.006392167,0.00006567606,0.0001745186,0.0003934957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843768,"about_ca_system_score_gemma":0.0001053657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006793132,"about_ca_topic_score_gemma":0.00002344828,"domain_scores_codex":[0.9977403,0.00008026468,0.0007918343,0.0003458199,0.0006538767,0.0003878913],"domain_scores_gemma":[0.9980693,0.0001178811,0.000543168,0.0006380636,0.0004824552,0.0001490999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001248174,0.0008305654,0.001573638,0.0006354723,0.000149694,0.000001025671,0.01146843,0.05553276,0.003563059,0.800567,0.04725796,0.07829562],"study_design_scores_gemma":[0.001272361,0.0001419993,0.0003960117,0.0001172078,0.00002773913,0.000006540239,0.00009689979,0.7162381,0.008607779,0.0002483321,0.2723334,0.0005135728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004334107,0.00001095491,0.9890462,0.001206807,0.001100892,0.0005057385,0.00007740901,0.0005092098,0.003208679],"genre_scores_gemma":[0.978893,0.00005752322,0.008276819,0.009488441,0.0006151592,0.000107022,0.001679737,0.00004332988,0.0008389365],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9807694,"threshold_uncertainty_score":0.99998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3194854786","doi":"","title":"A Comparison of User-Generated and Automatic Graph Layouts","year":2009,"lang":"en","type":"article","venue":"IEEE Symposium on Information Visualization","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Graph; Theoretical computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01452885658600829,"gpt":0.296564737164474,"spread":0.2820358805784657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001881175,0.0001420333,0.0001951851,0.0003963512,0.00006770991,0.0001270613,0.0002431937,0.00009190082,0.000002048762],"category_scores_gemma":[0.000008306252,0.0001425376,0.00003004625,0.0005504077,0.00001748366,0.001589769,0.0000220376,0.00006415858,0.000008876317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003796422,"about_ca_system_score_gemma":0.00002508209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004528668,"about_ca_topic_score_gemma":3.355697e-7,"domain_scores_codex":[0.9988413,0.0000431939,0.0005349491,0.0001256771,0.0003192213,0.0001356817],"domain_scores_gemma":[0.9991481,0.00002211224,0.0002828799,0.0002938345,0.0001957837,0.00005732014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001318847,0.0001930093,0.001320897,0.0001648598,0.0000221315,4.689782e-7,0.008926375,0.08767968,0.01332681,0.837429,0.002747177,0.04817638],"study_design_scores_gemma":[0.0002514919,0.0003253524,0.002458248,0.0000764228,0.00000587302,0.000002879406,0.000005780617,0.9398675,0.05482626,0.0003459106,0.001665046,0.0001692394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07515667,0.000006602585,0.9233831,0.0001124492,0.0001538806,0.000240329,0.000003113238,0.0007402385,0.0002036785],"genre_scores_gemma":[0.9520182,0.00001398745,0.04763686,0.0002552666,0.00001253293,0.00001373958,0.00003608669,0.000005387683,0.000007909328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8768616,"threshold_uncertainty_score":0.5812513,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}